Goat Git:

GitHub - derekhanbaliq/f1tenth-software-stack: An integrated repository of ESE 615 Team 6 in Spring 2023.

Instructions for data collection and storage.

Wall follow

  1. Load the map.png and yaml files in your sim based on allocation
  2. Run the wall follow node in the mm_wall_follow branch
  3. Record a rosbag with /scan and /drive topics only
  4. Run the simulator for 3 rounds and then convert the recorded bag into CSV files
  5. In the shared drive create a subfolder based on the map name (ex, Austin) and upload ONLY the drive.csv and scan.csv files.
  6. Repeat the process for all your allocated maps
  7. Please submit your extracted data by 8:00pm 1st May 2024 so that the DL model can be trained and tested on the simulator before meeting
Note: 
- As a sanity check, ensure that all the columns have some information.
- Speed and Steering must have some data points
- Intensity should be an empty array
- Each range should have 1080 data points

Useful Links:

GitHub - lidarmansiwon/ros2bag_convert_foxy: ROS2 foxy version_Convert ROS2 bag files to CSV, JSON, etc.